March 25, 2022, 5:35 p.m. | Jingyi Jessica Li

Towards Data Science - Medium towardsdatascience.com

DESeq2 and edgeR should no longer be the default choices for large-sample differential gene expression analysis

Complexities should not be added unless necessary.

Assumptions may not be needed for large-sample data.

Author: fei.zhao (思考问题的熊)

Original post: https://kaopubear.top/blog/2022-03-20-donot-use-deseq2-edger-in-human-population-samples

Translated by Xinzhou Ge and Jingyi Jessica Li (UCLA) with the author’s permission

For our shorter introduction to our Genome Biology article, please see https://towardsdatascience.com/a-large-sample-crisis-or-not-640224020757

During my Ph.D. years, I enjoyed evaluating and comparing various bioinformatics software packages when I was not busy. …

differential-expression gene non-parametric-test rna-seq

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